Epipelagic mesozooplankton distribution and abundance in Southern Ocean Atlantic sector and the North Atlantic and Arctic 1996-2013

Peter Ward1, Geraint Tarling1, Rachael Shreeve1, Petra ten Hoopen1, Angus Atkinson2

1 British Antarctic Survey, High Cross, Madingley Road, CB3 0ET, Cambridge, United Kingdom; 2 British Antarctic Survey, High Cross, Madingley Road, CB3 0ET, Cambridge, United Kingdom

Corresponding author(s): Peter WardGeraint TarlingRachael ShreevePetra ten Hoopen,  (polardatacentre@bas.ac.uk)

Received {date}; Revised {date}; Accepted {date}; Published {date}

Citation: Combination of authors, year of data paper publication (in parentheses), Title, Journal Name, Volume, Issue number (in parentheses), and doi of the data paper.

Resource Citation

Ward, P., Tarling, G., Shreeve, R., & ten Hoopen, P. (2020). Epipelagic mesozooplankton distribution and abundance in Southern Ocean Atlantic sector and the North Atlantic and Arctic 1996-2013 [Data set]. UK Polar Data Centre, Natural Environment Research Council, UK Research & Innovation. https://doi.org/10.5285/5A711904-EF42-46A3-9F47-3F0D6B231F65 https://doi.org/10.15468/3pf855

Abstract

Mesozooplankton were collected with a motion-compensated Bongo net (61 cm mouth diameter, 100 and 200 micrometre meshes) and a mini- Bongo net (18 cm mouth diameter, 50 micrometre mesh nets). Both nets fished to a maximum depth of 400 m but sometimes shallower. Specimens were categorised to the lowest possible taxonomic level, which in some cases encompassed developmental stages but in other cases was limited to higher order taxa. Each taxa was enumerated to determine abundance in units of individuals m-2. The dataset allows examination of the distribution and abundance of these species within the Atlantic sector of the Southern Ocean over a number of years and covering much of the productive season from spring to autumn. The data for the North Atlantic and Arctic covers one season only (summer) and is limited to providing a spatial perspective on the distribution and abundance of mesozooplankton.

Keywords: Samplingevent, "EARTH SCIENCE", "BIOSPHERE", "ECOLOGICAL DYNAMICS", "COMMUNITY DYNAMICS", "BIODIVERSITY FUNCTIONS", "ECOSYSTEMS", "AQUATIC ECOSYSTEMS", "PLANKTON", "ZOOPLANKTON", "OCEANS", "MARINE ENVIRONMENT MONITORING", Samplingevent

General description

Additional information: marine, harvested by iOBIS

Project details

Project title: Polar Science for Planet Earth
Personnel: Peter Ward, Geraint Tarling
Funding: Natural Environment Research Council, UK Research & Innovation

Data published through GBIF: https://ipt.gbif.org/resource?r=experiment-marie-doi

Taxonomic coverage

Taxonomic ranks
Kingdom: Animalia, Chromista, Protozoa
Phylum: Annelida, Arthropoda, Bryozoa, Chaetognatha, Chordata, Ciliophora, Cnidaria, Ctenophora, Echinodermata, Foraminifera, Mollusca, Nemertea, Ochrophyta, Phoronida, Rotifera, Sarcomastigophora
Class: Appendicularia, Ascidiacea, Bacillariophyceae, Bivalvia, Branchiopoda, Gastropoda, Gymnolaemata, Hexanauplia, Holothuroidea, Hydrozoa, Malacostraca, Oligotrichea, Ophiuroidea, Ostracoda, Polychaeta, Thaliacea

Spatial coverage

General spatial coverage: Southern Ocean, Atlantic Sector
North Atlantic Ocean, Arctic
Coordinates: 65°0'0''S and 47°53'60''S Latitude; 69°17'60''W and 25°48'0''W Longitude 

Temporal coverage: November 6, 2006 - February 4, 2013

Methods

Method step description: All species were identified according to the taxonomic guides available at time of analysis and the user must be aware that some species names may have since been updated.
Study extent description: Data were gathered on a series of oceanographic cruises aboard the RRS James Clark Ross during expeditions to the Atlantic Sector of the Southern Ocean and the North Atlantic/Arctic.
Sampling description: Samples were retrieved by either a motion compensation Bongo net or a mini Bongo net, and then preserved with Borax buffered 10% formalin for analysis back at the home laboratory. Taxa were identified through examination by light microscopy. The abundance of each taxa within a sample was determined through examining a known fraction of the sample and then making an inverse multiplication of that fraction. Known fractions were principally achieved through the use of a Folsom splitter. Volumetric abundances (individuals m-2) were determined through dividing sample abundance by the volume of water sampled by the respective net. Net volume was mainly derived through multiplying the net opening diameter by the maximum depth of sampling. This calculation assumes 100% net sampling efficiency and that specimens were only captured during the ascent phase of the net deployment.

Datasets

Dataset description
Object name: Darwin Core Archive Epipelagic mesozooplankton distribution and abundance in Southern Ocean Atlantic sector and the North Atlantic and Arctic 1996-2013
Character encoding: UTF-8
Format name: Darwin Core Archive format
Format version: 1.0
Distribution: https://ipt.gbif.org/archive.do?r=experiment-marie-doi
Publication date of data: 2021-05-21
Language: English
Licences of use: Creative Commons Attribution (CC-BY) 4.0 License

External datasets

Dataset description
Object name: original database
Character encoding: UTF-8
Format name: oracle database
Distribution: http://apex.nerc-bas.ac.uk/f?p=163:1

Dataset description
Object name: original dataset
Character encoding: UTF-8
Format name: comma separated values (csv)
Distribution: https://ramadda.data.bas.ac.uk/repository/entry/show?entryid=5a711904-ef42-46a3-9f47-3f0d6b231f65

Metadata language: English
Date of metadata creation: 2020-03-23
Hierarchy level: Dataset

References
Tarling GA, Ward P, Atkinson A, Collins MA, Murphy EJ (2012) Editorial: DISCOVERY 2010: Spatial and temporal variability in a dynamic polar ecosystem. Deep-Sea Res. II 59-60:1-13. https://doi.org/10.1016/j.dsr2.2011.10.001
Tyrrell T, Tarling GA, Leakey R, Cripps G, Thorpe S, Richier S, Moore CM (2016) Impacts of surface ocean acidification in polar seas and globally: a field-based approach. Deep-Sea Res. II 127:1-6. https://doi.org/10.1016/j.dsr2.2016.02.009